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Community for Data Integration (CDI)
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The Community for Data Integration (CDI) is a dynamic community of practice working together to grow USGS knowledge and capacity in scientific data and information management and integration.
Collaboration Areas
Collaboration Areas
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Projects and Products
Projects and Products
The CDI supports innovative ideas across the community with seed funding for projects.
News
2026 USGS Center of Excellence for Geospatial Information Science (CEGIS) Annual Research Meeting
2026 USGS Center of Excellence for Geospatial Information Science (CEGIS) Annual Research Meeting
Upcoming CDI Monthly Meetings
Upcoming CDI Monthly Meetings
Congratulations to the 2026 CDI Awarded Projects
Congratulations to the 2026 CDI Awarded Projects
Publications
A tool to monitor hydrologic conditions on tree islands in the Everglades A tool to monitor hydrologic conditions on tree islands in the Everglades
Tree islands are patchy upland forested habitats in Florida's Everglades that face degradation and disappearance due to altered hydrologic patterns. The U.S. Geological Survey coordinated with the Miccosukee Tribe of Indians of Florida and the Seminole Tribe of Florida to co-develop a decision-support tool based on tree-island hydrologic conditions. Everglades managers can use this tool...
Python Hyperspectral Analysis Tool (PyHAT) user guide Python Hyperspectral Analysis Tool (PyHAT) user guide
This report is a user guide for the 0.1.2 release of the Python Hyperspectral Analysis Tool (PyHAT) and its graphical user interface (GUI). The GUI is intended to provide an intuitive front end to allow users to apply sophisticated preprocessing and analysis methods to spectroscopic data. Though the PyHAT package has been developed with a particular focus on laser-induced breakdown...
Extracting data from maps: Lessons learned from the artificial intelligence for critical mineral assessment competition Extracting data from maps: Lessons learned from the artificial intelligence for critical mineral assessment competition
The U.S. Geological Survey (USGS), Defense Advanced Projects Research Agency (DARPA), NASA Jet Propulsion Laboratory (JPL), and MITRE ran a 12-week machine learning competition aimed at accelerating development of AI tools for critical mineral assessments. The Artificial Intelligence for Critical Mineral Assessment Competition solicited innovative solutions for two challenges: 1)...
Science
Water-Quality Wonderland: A Nitrate Tool, the Correction Magnitude Table, & Training Opportunities
Improve efficiency and reduce operational costs for USGS water-quality data through standardized methods and support.
Timing is Everything: Advancing Avalanche Forecasting Accuracy For Partners
An operational tool to improve forecasting of wet slab avalanches, prevent loss of lives, and decrease disruption to commerce.
Graphing Meaning Across Landscapes: Adapting USGS Grammar to Graph for Regional Decision Support
Enhance decision-making by making USGS science accessible and queryable.